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Fusion 5.9
    Fusion 5.9

    Capture signals

    Signals flow into Fusion from either a configured datasource or through the frontend application via the Signals API. Before you begin capturing signals, you should determine what kinds of signals and attributes to capture as well as how long to store signal data.

    Before you begin

    There are some criteria to consider before capturing signals:

    • How many daily search requests does your website receive? This will help estimate how many click signals you can expect to receive.

    • What kind of data collection do you perform on users? If you don’t track user_id consistently you may encounter problems with users-for-item recommendations.

    • How many datasources do you use? This will affect how you apply boosting and what fields are relevant.

    • Are you proficient in Javascript? If you’re sending signals from your frontend application or website, you’ll need to use Javascript in your implementation.

    Decide what to capture

    Signals can include as much or as little data that you wish to track. Depending on your industry and use case, you may decide to track certain signal types and attributes over others. The following table lists some of the most common types of attributes used in developing a strong search experience:

    Essential

    Original query term or browser context

    Event type
    For example: click, cart, purchase, wishlist, registry

    Product or doc clicked
    For example: doc_id

    Search context type
    For example: browse, search, typeahead, recommendations

    Query filters

    Query sort

    Recall size

    Page number

    Click position

    Session ID

    User ID
    Note: This is typically a visitor ID as kept in a persistent cookie.

    Customer ID
    Note: A customer is usually logged in and correlates to the ID used to track purchases.

    Event timestamp

    Search response time

    Platform

    Type

    Name

    OS type

    OS version

    Browser name

    Browser version

    App version

    Profile info

    Gender

    Age range

    Tenure

    Experiment

    Experiment ID

    Variant ID

    Variant name

    Other

    Breadcrumb

    Referrer

    Product ID

    Family ID

    SKU ID

    Source

    Login status

    Store ID

    Location - Region

    Location - City

    Location - State

    Location - Country

    Send signals

    When sending signals to Fusion, signals should come from a protected backend server and not directly from the browser. Additionally, the server should perform a store-and-forward batches pattern rather than individual signal payloads to avoid timeout errors.

    Create a retention policy

    Signals use up a significant amount of data storage in your Fusion instance. Typically, you should store 3-6 months of raw signals in Fusion before archiving them into a longterm storage solution. Signals are not automatically deleted by default, so you should set up a REST job to regularly delete old, unused data.